Thomas Scheuerl
Impact in
- Ecology top 10%
- Microbial Community Ecology and Physiology
- Environmental Chemistry top 10%
Papers in
- Genetics 9
- Evolution and Genetic Dynamics 9
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- Evolutionary Game Theory and Cooperation 7
- Co-authors
- Thomas Bell (3 shared papers)Timothy G. Barraclough (3 shared papers)Damian Rivett (2 shared papers)Martin W. Hahn (2 shared papers)Claus‐Peter Stelzer (4 shared papers)Reuben W. Nowell (1 shared paper)Ulrike Brandt (1 shared paper)Elke Lang (1 shared paper)
- Journals
- Ecology and Evolution (2 papers)Proceedings of the Royal Society B Biological Sciences (2 papers)PLoS ONE (2 papers)Population Ecology (1 paper)Journal of Heredity (1 paper)
- Partner nations
- AustriaUnited KingdomFinland
In The Last Decade
Thomas Scheuerl
12 papers receiving 458 citations
Peers
Comparison fields: 5 of 67
- Ecology 269
- Environmental Chemistry 51
- Genetics 131
- Oceanography 49
- Pollution 46
Countries citing papers authored by Thomas Scheuerl
This map shows the geographic impact of Thomas Scheuerl's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Thomas Scheuerl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Scheuerl more than expected).
Fields of papers citing papers by Thomas Scheuerl
This network shows the impact of papers produced by Thomas Scheuerl. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Thomas Scheuerl. The network helps show where Thomas Scheuerl may publish in the future.
Co-authors
The 22 scholars most cited alongside Thomas Scheuerl, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 114 | |
| 2 | 2012 | 95 | |
| 3 | 2016 | 83 | |
| 4 | 2009 | 74 | |
| 5 | 2015 | 23 | |
| 6 | 2013 | 21 | |
| 7 | 2019 | 20 | |
| 8 | 2019 | 13 | |
| 9 | 2011 | 9 | |
| 10 | 2019 | 6 | |
| 11 | 2017 | 6 | |
| 12 | 2021 | 4 |
About Thomas Scheuerl
Thomas Scheuerl is a scholar working on Genetics, Sociology and Political Science, Ecology, Molecular Biology and Ecology, Evolution, Behavior and Systematics, having authored 12 papers that have together received 468 indexed citations. Recurring topics across this work include Evolution and Genetic Dynamics (9 papers), Evolutionary Game Theory and Cooperation (7 papers), Plant and animal studies (3 papers), Microbial Community Ecology and Physiology (3 papers), Mathematical and Theoretical Epidemiology and Ecology Models (3 papers), Genomics and Phylogenetic Studies (2 papers), Aquatic Ecosystems and Phytoplankton Dynamics (2 papers) and Gut microbiota and health (2 papers). The work is most often cited by research in Ecology (269 citations), Environmental Chemistry (51 citations), Genetics (131 citations), Oceanography (49 citations) and Pollution (46 citations). Thomas Scheuerl has collaborated with scholars based in Austria, United Kingdom and Finland. Frequent co-authors include Thomas Bell, Timothy G. Barraclough, Damian Rivett, Martin W. Hahn, Claus‐Peter Stelzer, Reuben W. Nowell, Ulrike Brandt, Elke Lang, Shorok Mombrikotb and Ulrike Koll. Their work appears in journals such as Ecology and Evolution, Proceedings of the Royal Society B Biological Sciences, PLoS ONE, Population Ecology and Journal of Heredity.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.